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Data Infrastructure Engineer - High Performance Computing

Alignerr · Senior · Remote

About the Role

What if your deep expertise in Rust could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior Rust Full-Stack Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on.

This is a fully remote, flexible contract role for elite engineers who care about correctness, performance, and building systems that actually scale. If you've spent years thinking about memory layouts, concurrency patterns, and squeezing every cycle out of production systems — this is the role for you.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 20–40 hours/week

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Key Responsibilities:

Design, build, and optimize high-performance Rust systems supporting large-scale AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
Hunt down and eliminate bottlenecks — profiling, identifying edge cases, and implementing durable, scalable fixes
Improve reliability, safety, and performance across production Rust codebases
Collaborate with data, research, and engineering teams to support model training and evaluation pipelines
Participate in synchronous design reviews to iterate on architecture and implementation decisions

Requirements:

5+ years of professional, production Rust experience — this is a must
Deep expertise in data parallelism and concurrency patterns to maximize CPU saturation
Strong command of memory layout, SIMD optimizations, and heap allocation strategies — you know how to find and fix performance bottlenecks
Native or fluent English speaker with clear written and verbal communication skills
Able to commit 20–40 hours per week with reliable availability
Self-directed and confident making high-impact engineering decisions independently

Nice to Have

Prior experience with data annotation pipelines, data quality systems, or model evaluation infrastructure
Familiarity with AI/ML workflows, model training, or benchmarking pipelines
Experience building distributed systems or developer tooling
Background working with or alongside research engineering teams

Why Join Us

Work on cutting-edge AI projects alongside leading research labs and AI teams
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, technically rigorous work
Make a direct, tangible impact on how AI understands and generates systems-level code
Potential for ongoing work and contract extension as new projects launch
Training and onboarding support provided — hit the ground running

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